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Three Significant Datacenter Challenges to Watch for in 2022

Maintaining peak performance necessitates running the data center at full capacity. Nonetheless, IT managers frequently leave a margin for error, a capacity protection gap, to ensure that activities are not disrupted
Fremont, CA: The integration of computing services such as switches, routers, load balancing, and analytics software to allow for data collection and distribution is known as data center networking.
Modern data center networking challenges can have a significant financial impact on a wide range of data resources, including containers, virtual machines, and bare-metal applications. This could have a negative impact on unified monitoring and granular security controls.
Top Datacenter Networking Challenges
Data Security
Security is a recurring source of data center networking issues. Millions of dollars in lost intellectual property, private data leakage, and stolen personal information could result from a data breach. Target, for example, suffered a $162 million loss as a result of a data breach. Risk management must be considered by all data center administrators, as well as the protection of both stored and distributed data across the network. Indeed, according to a survey conducted by the Information Management Society, security was ranked as the top concern of 32 percent of CIOs.
Capacity Planning
Maintaining peak performance necessitates running the data center at full capacity. Nonetheless, IT managers frequently leave a margin for error, a capacity protection gap, to ensure that activities are not disrupted. Over-provisioning is expensive and wastes computing space, processing power, and electricity.
Datacenter administrators are increasingly concerned about running out of storage space, which is why an increasing number of data centers are implementing DCIM programs to detect storage, idle processing, and cooling capacity.
Power Management
While server consolidation and virtualization reduce the number of servers in the data center, they do not always reduce energy consumption. Blade servers consume four to five times the energy of previous data storage technologies, despite being way more effective.
As equipment requirements change, power and cooling requirements become more important.
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